Last week’s look at AI and ML news includes: Get Your Kicks with AI-Generated World Cup Highlight Clips, If You Don’t Like What’s Being Said, AI Will Change the Conversation, Meta Accelerates Their AI Tempo with AudioCraft, Study of AI-Aided Mammography Screenings Shows Increased Accuracy & Reduce Radiologist Workload, and more!

Get Your Kicks: World Cup Soccer Fans Can See All the Corners, Penalties, and Bicycles with AI-Generated Highlight Clips

As technology continues to push the boundaries of sports broadcasting, sports fans are demanding more dynamic and immersive viewing experiences. FOX Sports, in collaboration with Amazon Web Services (AWS), has introduced a groundbreaking AI-powered feature called “Catch Up With Highlights” that promises to revolutionize the way fans enjoy the World Cup and other sporting events.

The “Catch Up With Highlights” feature was initially launched during the FIFA World Cup in Qatar and was popular among viewers. It aims to address the challenges posed by various time zones in which games are played, ensuring that fans don’t miss out on key moments, even if they tune in after kickoff.

The technology behind "Catch Up With Highlights" leverages computer vision and Amazon Recognition.

The technology behind “Catch Up With Highlights” leverages computer vision and Amazon Recognition. Audio cues and camera angles in games are used to teach the system which elements should be featured in a video recap, enabling the creation of highlight clips. The clips are assembled with transitions and fade-to-black effects, resulting in a condensed game video that is made available to fans through the FOX Sports app and connected TVs/mobile devices.

The success of “Catch Up With Highlights” during the 2022 Men’s World Cup has led to its expansion to other sports, including USFL and MLB broadcasts. FOX Sports plans to extend the feature to football broadcasts later this year, promising an exceptional viewing experience for football fans as well.

FOX’s innovative collaboration with AWS marks a significant step in transforming the way we experience sports events, providing fans with a deeper connection to the game and enhancing their overall enjoyment of the World Cup and other sporting spectacles. As technology continues to evolve, the future of sports broadcasting holds the promise of even more exciting and immersive viewing experiences for sports enthusiasts worldwide.

Read more about how computer vision is changing the game with this post about advanced tech-enabled stadiums and the new AI-powered NFL fan experience.

Meta Accelerates Their AI Tempo with AudioCraft, An Open-Source Generative AI Tool for Audio and Music

Meta has announced the release of AudioCraft, an open-source generative AI that creates audio and music from text prompts. In terms of audio, music presents the biggest challenge, since it consists of both local and long-range patterns, ranging from notes to multi-instrumental pieces. Offering musicians and content creators an innovative solution, AudioCraft was designed to “provide inspiration, help people quickly brainstorm, and iterate on their compositions in new ways,” the announcement said.
Comprising three models—MusicGen, AudioGen, and EnCodec—AudioCraft simplifies the complex process of generating music and sound effects. The latest release includes an improved EnCodec decoder, enabling higher quality music generation with fewer artifacts. The company has made all the AudioCraft model weights and code available as open-source, encouraging researchers and practitioners to train their own models and contribute to the advancement of AI-generated audio and music.
The AudioCraft family of models produces high-quality audio with long-term consistency and is easy to use.
The AudioCraft family of models produces high-quality audio with long-term consistency and is easy to use. The tool’s user-friendly interface and open-source nature make it a valuable asset for creative experimentation and development within the field. With AudioCraft, Meta’s goal is to foster innovation and inspire musicians and sound designers to explore new possibilities in audio composition.

If You Don’t Like What’s Being Said, AI Will Change the Conversation: Revolutionizing Creative Intelligence for Digital Advertising

AI impact on digital advertising has been significant. In 2023, AI emerged from the background to become a driving force in various industries. It has already impacted processes like programmatic media buying and SEO optimization. In his article for the Forbes Council last week, Ian Liddicoat, Chief Technology Officer and Head of Data Science at Adludio, states that AI’s true potential lies in transforming ad creativity. At the Cannes Lions International Festival of Creativity, AI’s influence was hard to miss. As the industry prepares to bid farewell to third-party cookies, Liddicoat and many industry insiders see AI as a lifeline for marketers to deliver relevant, targeted advertising and gain deeper insights into campaign effectiveness.

“If you don’t like what is being said, then change the conversation.”
“If you don’t like what is being said, then change the conversation.”
– Don Draper, “Love Among the Ruins” (Mad Men Season 3, Episode 2)
One long-standing challenge in advertising is understanding how creative components interact with media and data. AI holds the power to solve this. Computer vision and generative AI can be combined to understand the impact of individual creative components on attention and engagement. This allows digital marketers to create customized content in real time, specifically designed to maximize audience attention and also link engagement metrics to brand-specific outcomes, providing insights that can immediately optimize campaign performance.

AI-driven creative intelligence represents a paradigm shift in digital advertising. While human input remains vital, AI-driven insights and optimizations will revolutionize how brands approach advertising. I, for one, am especially excited about the potential for real-time ad relevance and engagement with right-time, right-place content that’s truly meaningful for audiences across markets. As we move into 2024, joining the AI revolution will be critical for marketers who want to win the hearts and minds of customers in the dynamic world of digital advertising.

Study of AI-Aided Mammography Screenings Shows Increased Accuracy & Reduce Radiologist Workload

AI-supported breast cancer screening has shown promising results in a large randomized study. The findings, published online August 1 in Lancet Oncology, come from a planned interim safety analysis of the Swedish Mammography Screening with Artificial Intelligence (MASAI) trial.  Early findings indicate that the AI system is safe and as accurate as standard double reading of mammograms by two breast radiologists. Moreover, it significantly reduces radiologist workload by almost 44%. 

The trial involved 80,033 women randomized into two groups: one receiving AI-supported screening and the other undergoing standard double reading without AI. The AI system provided malignancy risk scores from 1 to 10, and based on the scores, exams were triaged to single or double radiologist reading.  The study’s cancer detection rate in the high-risk group — patients with a risk score of 10 —  was impressive, with one cancer detected per 14 screening exams.

The study showed a 20% increase in cancer detection using AI support compared to routine double mammography reading, further highlighting AI’s potential to enhance screening efficiency. Overall, “we found that the benefit of AI-supported screening in terms of screen-reading workload reduction was considerable,” the authors of the study said. Assuming a radiologist can read 50 mammograms an hour, the researchers estimated that a radiologist would take 4.6 fewer months to read more than 46,000 screening exams in the intervention group compared with more than 83,000 in the control group. 

Ongoing analysis is needed to understand patient outcomes and mitigate the potential for overdiagnosis in low-grade cancers leading to unnecessary treatment.  However, experts are optimistic about AI’s ability to reduce the burden on radiologists and improve screening accuracy–potentially solving challenges of great importance for many breast screening programs.

About the Author & Plainsight

Joan Silver is the SVP of Marketing at Plainsight and oversees the full scope of marketing and communications for the company. Propelling multiple companies from startup and launch, through funding rounds, to successful IPOs and acquisitions, Joan builds brands from big ideas to big time. A trailblazer in the B2B digital marketing industry, she’s a believer in the transformational power of AI and loves technology that solves problems and improves our daily lives.

Plainsight provides the unique combination of AI strategy, a vision AI platform, and deep learning expertise to develop, implement, and oversee transformative computer vision solutions for enterprises. Through the widest breadth of managed services and a vision AI platform for centralized processes and standardized pipelines, Plainsight makes computer vision repeatable and accountable across all enterprise vision AI initiatives. Plainsight solves problems where others have failed and empowers businesses across industries to realize the full potential of their visual data with the lowest barriers to production, fastest value generation, and monitoring for long-term success. For more information, visit

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